public class CompareAndSet extends BaseTransformSameOp
dimensionz, extraArgz, x, xVertexId, y, yVertexId, z, zVertexId
dimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue
Constructor and Description |
---|
CompareAndSet() |
CompareAndSet(INDArray x,
double set,
Condition condition)
With this constructor, op will check each X element against given Condition, and if condition met, element will be replaced with Set value
Pseudocode:
z[i] = condition(x[i]) ? set : x[i];
PLEASE NOTE: X will be modified inplace.
|
CompareAndSet(INDArray x,
double compare,
double set,
double eps) |
CompareAndSet(INDArray x,
double compare,
double set,
double eps,
Condition condition) |
CompareAndSet(INDArray x,
INDArray y,
Condition condition)
With this constructor, op will check each Y element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
PLEASE NOTE: X will be modified inplace.
|
CompareAndSet(INDArray x,
INDArray z,
double set,
Condition condition)
With this constructor, op will check each X element against given Condition, and if condition met, element will be replaced with Set value
Pseudocode:
z[i] = condition(x[i]) ? set : x[i];
|
CompareAndSet(INDArray x,
INDArray z,
double compare,
double set,
double eps)
This constructor is shortcut to epsEquals.
|
CompareAndSet(INDArray x,
INDArray y,
INDArray z,
Condition condition)
With this constructor, op will check each Y element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise
Pseudocode:
z[i] = condition(y[i]) ? y[i] : x[i];
|
CompareAndSet(SameDiff sameDiff,
SDVariable to,
Number set,
Condition condition) |
Modifier and Type | Method and Description |
---|---|
List<SDVariable> |
doDiff(List<SDVariable> gradient)
The actual implementation for automatic differentiation.
|
String |
onnxName()
The opName of this function in onnx
|
String |
opName()
The name of the op
|
int |
opNum()
The number of the op (mainly for old legacy XYZ ops
like
Op ) |
Map<String,Object> |
propertiesForFunction()
Returns the properties for a given function
|
String |
tensorflowName()
The opName of this function tensorflow
|
calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, getOpType, opType, resultType, resultType, validateDataTypes
z
clearArrays, defineDimensions, dimensions, equals, extraArgs, extraArgsBuff, extraArgsDataBuff, getFinalResult, getInputArgument, getNumOutputs, getOpType, hashCode, initFromOnnx, initFromTensorFlow, outputVariables, setX, setY, setZ, toCustomOp, toString, x, y
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariables, outputVariablesNames, rarg, replaceArg, setInstanceId, setPropertiesForFunction, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
clearArrays, extraArgs, extraArgsBuff, extraArgsDataBuff, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, z
public CompareAndSet(SameDiff sameDiff, SDVariable to, Number set, Condition condition)
public CompareAndSet()
public CompareAndSet(INDArray x, double compare, double set, double eps)
public CompareAndSet(INDArray x, double compare, double set, double eps, Condition condition)
public CompareAndSet(INDArray x, double set, Condition condition)
x
- set
- condition
- public CompareAndSet(INDArray x, INDArray z, double set, Condition condition)
x
- set
- condition
- public CompareAndSet(INDArray x, INDArray y, Condition condition)
x
- y
- condition
- public CompareAndSet(INDArray x, INDArray y, INDArray z, Condition condition)
x
- y
- z
- condition
- public Map<String,Object> propertiesForFunction()
DifferentialFunction
propertiesForFunction
in class DifferentialFunction
public int opNum()
DifferentialFunction
Op
)opNum
in interface Op
opNum
in class DifferentialFunction
public String opName()
DifferentialFunction
opName
in interface Op
opName
in class DifferentialFunction
public String onnxName()
DifferentialFunction
public String tensorflowName()
DifferentialFunction
tensorflowName
in class BaseOp
public List<SDVariable> doDiff(List<SDVariable> gradient)
DifferentialFunction
doDiff
in class DifferentialFunction
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